Senior Cloud Solutions Engineer

Position Summary

The Senior Cloud Solutions Engineer serves as a key technical leader responsible for designing, building, and supporting scalable solutions across both cloud and on-premises environments. This role bridges front-end applications, back-end services, and enterprise systems to deliver reliable, high-performance solutions that support critical business operations. As a senior individual contributor, this position owns solution architecture and implementation across a hybrid technology landscape, ensuring alignment with enterprise standards and long-term modernization strategies.

Beyond solution delivery, this role is expected to influence technical direction, promote engineering best practices, mentor other engineers, evaluate emerging technologies including AI capabilities, and serve as a trusted technical advisor across the organization. This role is not available for any form of immigration sponsorship or support, including completion of the Form I-983 training plan required for STEM OPT.

• Solution Architecture & Development:
  Design, develop, and maintain scalable web applications and APIs using modern frameworks (React, .NET Core), ensuring high performance, security, and maintainability.
• Cloud Engineering:
  Architect and manage Azure-based solutions, including App Services, storage, identity management, and related services to support highly available, resilient applications.
• Enterprise Integration:
  Design and implement integration solutions connecting cloud and on-premises systems (e.g., SQL Server, Oracle, Azure SQL) using modern iPaaS platforms such as Boomi, Mule Soft, or Azure Logic Apps.
• Dev Ops & Automation:
  Build and maintain CI/CD pipelines using Azure Dev Ops to automate testing, security validation, and multi-environment deployments.
• Technical Leadership & Mentorship:
  Provide technical guidance and mentorship to team members and external partners. Lead by example in coding standards, architecture design, and development best practices.
• Vendor & Partner Oversight:
  Provide technical oversight of third-party development efforts, ensuring alignment with internal standards, architecture, and security requirements.
• Standards & Governance:
  Define and enforce development standards, architectural patterns, and best practices across solutions.
• Collaboration & Stakeholder Engagement:
  Partner with business stakeholders, product owners, and data teams to design solutions that support enterprise data and analytics strategies.
• System Monitoring & Documentation:
  Ensure system reliability through monitoring tools (Azure Monitor, Application Insights) and maintain clear technical documentation using tools like Swagger and Postman.
• Continuous Improvement:
  Evaluate and recommend new technologies, tools, and frameworks to improve system performance, scalability, and developer productivity.
• AI-Enabled Solution Development:
  Identify, evaluate, prototype, and implement AI-enabled solutions that improve enterprise applications, business processes, and developer productivity. Integrate generative AI capabilities using Azure AI services, Azure OpenAI Service, Azure AI Search, Copilot Studio, Microsoft AI Foundry, Power Platform AI capabilities, or comparable platforms to deliver secure, scalable, and production-ready solutions.
• Collaborate with business and technology teams to identify AI opportunities, establish reusable technical patterns, and ensure solutions align with enterprise architecture, security, governance, and Responsible AI practices.

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

• 10+ years of experience in software engineering, including design and development of enterprise applications
• Proven experience building and supporting cloud-based applications, preferably in Microsoft Azure
• Hands-on experience developing, integrating, or supporting at least one AI, machine learning, generative AI, intelligent automation, or AI-enabled application project in Azure or a comparable cloud/platform environment
• Experience leading technical initiatives or owning solutions end-to-end
• Experience evaluating, prototyping, or integrating AI-enabled capabilities into enterprise applications or business processes

• Strong proficiency in C# and .NET (Core/.NET 6+)
• Experience with modern front-end frameworks (React, Type Script preferred)
• Solid understanding of RESTful API design and microservices architecture
• Strong SQL skills and…